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9 - Regular Theories

Published online by Cambridge University Press:  05 November 2011

Jon Barwise
Affiliation:
Indiana University
Jerry Seligman
Affiliation:
University of Auckland
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Summary

In this lecture, we prepare the way for the notion of local logic by studying the ways that classifications give rise to “regular theories.” These theories can be seen as an idealized version of the scientific laws supported by a given closed system. The adjective “regular” refers to the purely structural properties that any such theory must satisfy. Any theory with these properties can be obtained from a suitable classification. At the end of the lecture, we will return to the question of how different scientific theories, based on different models of the phenomena under study, can be seen as part of a common theory. We will see conditions under which this obtains.

Theories

One way to think about information flow in a distributed system is in terms of a “theory” of the system, that is, a set of known laws that describe the system. Usually, these laws are expressed in terms of a set of equations or sentences of some scientific language. In our framework, these expressions are modeled as the types of some classification. However, we will not model a theory by means of a set of types. Because we are not assuming that our types are closed under the Boolean operations, as they are not in many examples, we get a more adequate notion of theory by following Gentzen and using the notion of a sequent.

Type
Chapter
Information
Information Flow
The Logic of Distributed Systems
, pp. 117 - 131
Publisher: Cambridge University Press
Print publication year: 1997

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  • Regular Theories
  • Jon Barwise, Indiana University, Jerry Seligman, University of Auckland
  • Book: Information Flow
  • Online publication: 05 November 2011
  • Chapter DOI: https://doi.org/10.1017/CBO9780511895968.010
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  • Regular Theories
  • Jon Barwise, Indiana University, Jerry Seligman, University of Auckland
  • Book: Information Flow
  • Online publication: 05 November 2011
  • Chapter DOI: https://doi.org/10.1017/CBO9780511895968.010
Available formats
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Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Regular Theories
  • Jon Barwise, Indiana University, Jerry Seligman, University of Auckland
  • Book: Information Flow
  • Online publication: 05 November 2011
  • Chapter DOI: https://doi.org/10.1017/CBO9780511895968.010
Available formats
×